The correct use of medicine is important for the well-being of clients. Because of this, we want the client to be supported optimally. A large group of clients could use extra help, which, for now, is often provided by homecare workers but could also be made possible with Medido Connected. The following main question is central for this project:
How can we detect trends and/or anomalies on a cliënt level
Innospense provided the group with multiple datasets about intake times and notifications of the medido dispenser. With these datasets machine learning techniques will be used to see if cliënts need more help to take medication earlier .